Edward Snowden Lashes Out at NVIDIA Over GeForce RTX 50 Pricing And Value

[tfdsaf]

Dude stop defending your abuser (Nvidia), get help you have Stockholm syndrome, the fact is Nvidia is making 60% gross profits on their gaming GPU's. Clearly there is a huge amount that they can shave off of the prices and still be profitable, but at least provide good value GPU's, the thing is they don't want to provide decent value, they want to rip you off and screw you in every possible way.

Stop drinking their Kool-Aid and get help, Stockholm syndrome can be healed.

 

[10tothemin9volts]

[..] 5070 should have had 16GB VRAM minimum, 5080 w 24/32 SKUs, [..]

That's basically what I have been saying. 16GB on the 5070 would force NV to use a 256-bit chip and that's more expensive than the current 192-bit one (ofc, I would have nothing against a 256-bit chip if it wasn't more expensive), So I'd be also ok with the use of 3GB VRAM modules, instead of the current 2GB ones (=18 GB VRAM).
With local LLM AI self-hosting/inferencing, we need at least 4GB VRAM modules and at least 48GB VRAM (possible with 192-bit, 256-bit and 384-bit chips) per cheap consumer GPU.

 

[Assimilator]

Especially because all these RTs can be calculated on standard "raster" shader units without hw-rt-cores

Then you don't have real-time ray-tracing. You have ray-tracing at 1 frame every 10 seconds.

That's basically what I have been saying. 16GB on the 5070 would force NV to use a 256-bit chip and that's more expensive than the current 192-bit one (ofc, I would have nothing against a 256-bit chip if it wasn't more expensive), So I'd be also ok with the use of 3GB VRAM modules, instead of the current 2GB ones (=18 GB VRAM).
With local LLM AI self-hosting/inferencing, we need at least 4GB VRAM modules and at least 48GB VRAM (possible with 192-bit, 256-bit and 384-bit chips) per cheap consumer GPU.

LLMs are a professional workload. You want to run those, buy a professional-grade GPU that has sufficient VRAM.

 

[Solid State Brain]

LLMs are a professional workload.

Far from it; most people on /r/LocalLlama on Reddit are using them for entertainment, believe it or not.
The recent DeepSeek R1 release has also made a lot of new people interested in running LLMs locally beyond strictly professional uses.

 

[Assimilator]

Far from it; most people on /r/LocalLlama on Reddit are using them for entertainment, believe it or not.
The recent DeepSeek R1 release has also made a lot of new people interested in running LLMs locally beyond strictly professional uses.

I wish the mods would ban people who used reddit as any sort of proof for anything. Since they won't, welcome to my ignore list.

 

[Legacy-ZA]

I wish the mods would ban people who used reddit as any sort of proof for anything. Since they won't, welcome to my ignore list.

Oh, I had a good chuckle, thank you. Yes, Reddit... that place... urgh.

It does make for an interesting study on human behaviour though.

 

[Solid State Brain]

For those who weren't aware, /r/LocalLlama is probably the largest single local LLM user community on the Internet. Some professionals and individuals from the industry write there, but it's mostly amateurs, definitely not mostly professionals. Calling LLMs in general a "professional workload" is laughable, considering that their size ranges from small enough to be run on a smartphone to large enough you need a GPU farm to use them.

 

[AusWolf]

When I say raster is a hack, I'm not being pejorative per se, I am simply referring to how it is implemented WRT light as opposed to RT. Because the human eye, which is what we use to perceive visuals, begins and ends with light - and so does RT, whereas in raster light is an afterthought that has to be simulated - poorly. To quote Matt Pharr from the excellent link posted by @dyonoctis, with an additional bolded word inserted by me for clarity:

Ah, I see your point.

Raster exists only because we couldn't do real-time RT until recently, similarly to how we only used horse-drawn carriages until we were able to produce internal combustion engines small and light enough to move those same carriages. It's not bad, it's just had its time and that time is now over, and we need to stop trying to make horse-drawn carriages better when we can instead make better cars.

But the thing is that those cars had to be cheap enough for people using horse carriages to consider switching. It took a long time, just like RT seems to be taking an awfully long time to run on midrange hardware properly.

"Perfect is the enemy of good enough", and as an engineer I agree completely. But here's the thing, nobody - and I mean nobody - who works in graphics rendering (I'm talking people like Pharr, and computer scientists) wants to use rasterisation, because it is so god-awfully complex, and therefore brittle and imperfect, compared to RT.

Then they should focus on making RT run on lesser than high-end hardware so that a larger customer base can enjoy it.

It's always been a pejorative term, the fact that it got repurposed to be a synonym for "tip" is one of those particularly American desecrations of English that I refuse to acknowledge.

That's a brilliant way to put it, and I agree completely!